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Uma abordagem de otimização utilizando Algoritmo Genético com estratégias de busca local e melhoramento genético para minimização do makespan no problema de programação da produção job shop
(Universidade Federal de São Carlos, 2021-11-12)
Many works nowadays use metaheuristics to deal with the class of problems known in the literature as Job Shop Scheduling Problem (JSSP) due to its complexity since it consists of combinatorial problems and belongs to the ...
Onto Solar Flare - uma ontologia de domínio/aplicação sobre explosões solares sob escopo do método ECID
(Universidade Federal de São Carlos, 2020-08-14)
Solar flares are phenomena capable of causing several damages in radio systems, communication
satellites, global positioning systems (GPS), among others. The possible damage can vary
according to the intensity of the ...
Detecção de postagens com informações falsas sobre a pandemia do Covid-19 na rede social Instagram
(Universidade Federal de São Carlos, 2021-07-05)
This dissertation addresses the detection of false information on Instagram, the social network
that has been growing more and more compared to other social media platforms. Because it
is a social network with multimedia ...
Uma arquitetura não intrusiva e reativa para realizar o processo ETL em tempo real em ambientes de data warehousing
(Universidade Federal de São Carlos, 2021-12-20)
There is a great interest in obtaining data that support the decision-making process in business. These data are available in data sources in the operational environment, which are autonomous, heterogeneous, and distributed. ...
Detecção e classificação automáticas de alterações estruturais cerebrais em imagens de ressonância magnética para o auxílio ao diagnóstico do Alzheimer
(Universidade Federal de São Carlos, 2021-09-21)
Alzheimer's disease is a progressive and irreversible neurodegenerative condition with development characterized by asymmetrical brain atrophies. Across life, due to neuronal aging, a cognitively healthy brain presents ...
Improving data locality of bagging ensembles for data streams through mini-batching
(Universidade Federal de São Carlos, 2021-08-27)
Machine Learning techniques have been employed in virtually all domains in the past few years. In many applications, learning algorithms will have to cope with dynamic environments, under both memory and time constraints, ...
Análise comparativa de benchmarks para banco de dados NoSQL orientados a grafos de propriedades
(Universidade Federal de São Carlos, 2021-07-06)
The new era of data economics, based on data sets with enormous volume, wide variety of formats, and rapid speed in data production and utilization, has brought the need for new data management structures and methods. Then ...
Virtualização de laboratórios educacionais com distribuição eficiente de imagens de disco
(Universidade Federal de São Carlos, 2021-06-01)
Due to the transversality of Computer Science and Engineering as an area of interdisciplinary research and to the adoption of the computer as a tool by the most diverse areas of knowledge, computer labs have become essential ...
Método para classificação de padrões da Lagarta do cartucho (Spodoptera frugiperda) na cultura do milho baseado em processamento de imagens digitais e aprendizado de máquina
(Universidade Federal de São Carlos, 2021-12-29)
The detection, identification, and control of the Fall Armyworm (Spodoptera frugperda) pest
into the maize culture (Zea mays) are greatly dependent on the human factor. Currently, such
control occurs mainly through the ...
Avaliação de riscos de segurança BGP na Internet com emulação escalável
(Universidade Federal de São Carlos, 2021-12-15)
Border Gateway Protocol (BGP) is the predominant routing protocol that allows different Autonomous Systems (AS) to communicate on the Internet. Attacks on BGP typically have a significant impact as they can cause unavailability ...